Real-time Gpu Computing

Real-Time GPU Computing is a computational paradigm within GPU computing that specifically entails the processing of data and execution of workloads using graphics processing units under strict temporal constraints, where results must be generated within guaranteed time bounds to ensure correctness and system responsiveness.

128

Publications

5.5K

Citations

421

Authors

161

Institutions

Publications per year

2017–2026

28

Authors

421

  1. JH
    James H. Anderson

    University of North Carolina at Chapel Hill, United States

    6 publications · 280 citations

    6

    h-index

  2. NO
    Nathan Otterness

    University of North Carolina at Chapel Hill, United States

    5 publications · 238 citations

    5

    h-index

  3. SK
    Shinpei Kato

    The University of Tokyo, Japan

    3 publications · 324 citations

    3

    h-index

  4. RR
    Ragunathan Rajkumar

    Carnegie Mellon University, United States

    3 publications · 303 citations

    3

    h-index

  5. AC
    Aura Conci

    Universidade Federal Fluminense, Brazil

    3 publications · 56 citations

    3

    h-index

1–5 of 421

Venues

  1. Journal of Real-Time Image Processing

    7 publications · 216 citations

    7

    h-index

  2. ACM Transactions on Graphics

    TOG · 6 publications · 500 citations

    6

    h-index

  3. 4

    h-index

  4. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 3 publications · 161 citations

    3

    h-index

  5. arXiv (Cornell University)

    Repository · 3 publications · 81 citations

    3

    h-index

1–5